Emmanuel Opakrwot
@emmanuelopakrwot
I build scalable Django and React applications with computer vision and machine learning.
What I'm looking for
At TechVision Solutions, I architected and deployed a Django/React computer vision dashboard that processes 10,000+ images daily for quality control automation. I implemented real-time PyTorch Lightning object detection at 94% accuracy, reducing manual inspection time by 65%.
I've delivered end-to-end web, AI, and desktop products, from REST APIs and React dashboards to a Qt C++ medical-image annotation tool used by 50+ researchers. My work includes AWS deployments, Docker containerization, CI/CD, database optimization, and machine learning integrations using OpenCV and Scikit-learn.
Experience
Work history, roles, and key accomplishments
Senior Full-Stack Developer
TechVision Solutions
Jan 2022 - Present (4 years 7 months)
Architected and deployed a computer vision dashboard using Django/React and OpenCV, processing 10,000+ images daily for quality control automation. Implemented PyTorch Lightning models for real-time object detection, achieving 94% accuracy and reducing manual inspection time by 65%.
Software Developer
Client Project
Jun 2020 - Dec 2021 (1 year 6 months)
Developed RESTful APIs with Django REST Framework serving ML predictions from Scikit-learn models to React frontend. Created desktop annotation tool using Qt C++ for labeling medical images, used by 50+ researchers.
Education
Degrees, certifications, and relevant coursework
Mbarara University of Technology
Bachelor of Science, Computer Science
2021 - 2025
Pursuing a Bachelor of Computer Science degree.
Uganda Christian University
Bachelor of Engineering, Information Technology
2015 - 2019
Grade: 3.6/4.0
Earned a Bachelor of Engineering in Information Technology with a GPA of 3.6/4.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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